Open Access   Article Go Back

Encumbrance Collating in Cloud Data Center Using Modified Active Monitoring Load Balancer

Sanjay Khajure1 , Shubham Yelne2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 72-76, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.7276

Online published on Jul 31, 2018

Copyright © Sanjay Khajure, Shubham Yelne . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Sanjay Khajure, Shubham Yelne, “Encumbrance Collating in Cloud Data Center Using Modified Active Monitoring Load Balancer,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.72-76, 2018.

MLA Style Citation: Sanjay Khajure, Shubham Yelne "Encumbrance Collating in Cloud Data Center Using Modified Active Monitoring Load Balancer." International Journal of Computer Sciences and Engineering 6.7 (2018): 72-76.

APA Style Citation: Sanjay Khajure, Shubham Yelne, (2018). Encumbrance Collating in Cloud Data Center Using Modified Active Monitoring Load Balancer. International Journal of Computer Sciences and Engineering, 6(7), 72-76.

BibTex Style Citation:
@article{Khajure_2018,
author = {Sanjay Khajure, Shubham Yelne},
title = {Encumbrance Collating in Cloud Data Center Using Modified Active Monitoring Load Balancer},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {72-76},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2397},
doi = {https://doi.org/10.26438/ijcse/v6i7.7276}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.7276}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2397
TI - Encumbrance Collating in Cloud Data Center Using Modified Active Monitoring Load Balancer
T2 - International Journal of Computer Sciences and Engineering
AU - Sanjay Khajure, Shubham Yelne
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 72-76
IS - 7
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
620 303 downloads 183 downloads
  
  
           

Abstract

Virtualization and automation is used to provide the user with self-service computing experience available at infinite scale at very low cost, with the tremendous growth of communications, connectivity and Internet technology cloud computing have become a principal reference of computing for IT industry. Major challenge for data centers is to streamline the requests, as cloud data centers and the users of the cloud-computing are globally situated, Present research provides environment that equally distributes workload across all the nodes. It also provides a way of achieving the proper utilization of resources and better user satisfaction. Current research is focused on the load-balancing algorithm, which distributes the incoming jobs among virtual machine optimally in cloud data centers. The proposed algorithm in this paper has been executed using Cloud Analyst Simulator and the performance of the suggested algorithm is compared with the three algorithms which are pre-exists based on response time. The experiment result shows that the recommended algorithm performs better than the existing algorithms.

Key-Words / Index Term

Virtual Machine, Load Balancing, Cloud Analyst, Cloud Data Center, Virtualization, User Base

References

[1] W. Bhathiya, “CloudAnalyst a CloudSim-based tool for modelling and analysis of large scale cloud computing environments”, MEDC Project, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia, pp. 1-44, June 2009.
[2] Domanal, S. G., & Reddy, G. R. M., “Load Balancing in Cloud Computing using Modified Throttled Algorithm” IEEE international conference on Cloud Computing in Emerging Market, pp. 1-5, October 2013.
[3] Prachi Verma et.al, “Enhancing Load Balancing in Cloud Computing by Ant Colony Optimization Method” International Journal of Computer Engineering In Research Trends, 4(6):pp:277-284 ,June-2017.
[4] Sundaram, C. R. M., & Narahari, Y., “Analysis Of Dynamic Load Balancing Strategies Using A Combination Of Stochastic Petri Nets And Queueing Networks” Springer Conference, Berlin Heidelberg, pp. 397-414, 1993.
[5] Mondal, B., Dasgupta, K., & Dutta, P., “Load Balancing In Cloud Computing Using Stochastic Hill Climbing-A Soft Computing Approach” Elsevier, Procedia
Technology, pp.783-789, 2012.
[6] M. Katyal et.al, “A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment”, International Journal of Distributed and Cloud Computing Volume 1 Issue 2 December 2013
[7] Bhadani, A., & Chaudhary, S., “Performance Evaluation of Web Servers Using Central Load Balancing Policy Over Virtual Machines on Cloud”, ACM, Bangalore Conference, January 2010.
[8] W. Itani, A. Kayssi, and A. Chehab, “Privacy as a Service: Privacy-Aware Data Storage and Processing in Cloud Computing Architectures,” 2009 8th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2009, pp. 711-716.
[9] B. Grobauer, T. Walloschek, and E. Stöcker, “Understanding Cloud Computing Vulnerabilities,” 2011 IEEE Security and Privacy, pp. 50-57, DOI= March/April 2011.
[10] W. A. Jansen, “Cloud Hooks: Security and Privacy Issues in Cloud Computing,” Proceedings of the 44th Hawaii International Conference on System Sciences, 2011.
[11] A. Sebastian, S. Sivagurunathan "A Survey on Load
Balancing Schemes in RPL based Internet of Things"
IJSRNSC Volume-6, Issue-3, June 2018.
[12] Vikas Mangotra, Richa Dogra "Cloud reliability
enhancement mechanisms: A Survey", International
Journal of Scientific Research in Computer Science
and Engineering Vol.6, Issue.3, pp.31-34 , June (2018)